Job Family:
Data Science Consulting
Travel Required:
Clearance Required:
What You Will Do:
Apply strong technical skills and a mission‑focused mindset to understand client needs, identify opportunities, and design solutions for Federal clients. Leverage tools such as Python, SQL, LLMs, and Tableau and platforms such as Databricks to develop products and solutions. Automate processes using Power Automate when appropriate. Communicate clearly to translate technical findings for both technical and non‑technical audiences, including leadership. Engage directly with clients to gather requirements, adapt solutions to mission needs, and drive initiatives forward. Support internal initiatives and business development including RFP, RFQ, and RFI responses and white papers.
What You Will Need:
Active SECRET or higher security clearance.
Bachelor’s degree in a relevant technical field.
TWO (2) years of Data science, data engineering or data analytics experience.
Proficiency in connecting data sources and wrangling data using Python.
Experience in querying and wrangling data using SQL.
Experience designing and developing ETL/ELT data pipelines.
Experience utilizing Large Language Models and prompt engineering.
Experience in developing and deploying AI/ML models using Python.
Experience performing analytics and data engineering in a cloud environment, such as Azure or AWS.
Ability to support remote, hybrid, or on-site projects in the Washington D.C. metro area.
What Would Be Nice To Have:
THREE (3) years of relevant professional experience.
Experience working in Databricks.
Strong understanding of statistics and statistical methods.
Understanding of Natural Language Processing.
Familiarity with Databricks platform for conducting data science.
Familiarity with development involving APIs.
Ability to learn new software tools.
Ability to work independently, proactively identify opportunities to add value to the client, and drive initiatives and innovation.
Ability to clearly communicate and present technical solutions, insights, and results to technical and non-technical audiences, including leadership.
Ability to develop and conduct technical training.
Familiarity with RAG methods and development.
Understanding of AI/ML model containerization, such as with Docker.
Proficiency in developing data visualizations and dashboards using Power BI or Tableau, applying best practices.
Experience automating data analytics and other business processes using Power Automate.
Proficiency using source control and collaborative development practices.
Experience with graph analytics, network analysis, or graph data modeling.
Relevant experience supporting Department of State or other Federal Government organizations.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [email protected]. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [email protected]. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Skills Required
- Active Secret or higher security clearance
- Bachelor’s degree in a relevant technical field
- Two years of experience in data science, data engineering, or data analytics
- Proficiency connecting data sources and wrangling data using Python
- Experience querying and wrangling data using SQL
- Experience designing and developing ETL or ELT data pipelines
- Experience utilizing large language models and prompt engineering
- Experience developing and deploying AI/ML models using Python
- Experience performing analytics and data engineering in a cloud environment such as Azure or AWS
- Ability to support remote, hybrid, or on-site projects in the Washington, D.C. metro area
- Three years of relevant professional experience
- Experience working in Databricks
- Strong understanding of statistics and statistical methods
- Understanding of Natural Language Processing
- Familiarity with Databricks for data science
- Familiarity with API development
- Familiarity with RAG methods and development
- Understanding of AI/ML model containerization, such as Docker
- Proficiency developing data visualizations and dashboards using Power BI or Tableau
- Experience automating data analytics and business processes using Power Automate
- Proficiency using source control and collaborative development practices
- Experience with graph analytics, network analysis, or graph data modeling
- Relevant experience supporting Department of State or other Federal Government organizations
Guidehouse Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Guidehouse and has not been reviewed or approved by Guidehouse.
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Healthcare Strength — Feedback suggests the benefits package includes broad medical, dental, vision, prescription, life, and disability coverage, which is often seen as a strong foundational offering. Access to HSA/FSA options further supports day-to-day healthcare and dependent-care needs.
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Parental & Family Support — Feedback suggests parental leave and adoption assistance are available, alongside an emergency back-up childcare program. These offerings indicate meaningful support for employees managing family responsibilities.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexible work options and counseling/EAP-style support are part of the broader rewards mix. Additional lifestyle-oriented perks like community events and referral programs are also described as available in some contexts.
Guidehouse Insights
What We Do
Guidehouse is a leading global provider of consulting services to the public sector and commercial markets, with broad capabilities in management, technology, and risk consulting. By combining our public and private sector expertise, we help clients address their most complex challenges and navigate significant regulatory pressures focusing on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that help our clients outwit complexity and position them for future growth and success. The company has more than 12,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies.
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